中文摘要：

在农业气候资源研究中，气象观测站点数据的区域化问题是进行资源优化配置和高效利用的一个重要环节：利用江西省84个气象站点，采用SPSS统计软件逐步回归分析方法分别建立江西省年均降水和年均气温与经度、纬度和海拔之间的统计线性关系模型，结合SRTM—DEM、经度和纬度计算江西省每个栅格点上的年均气温和降水。在ArcGIS支持下，利用统计关系模型时月平均温度和降水进行了区域化。并以年均降水量和气温作为气候特征指标进行聚类，将江西省划分为6个农业气候类型区：（1）湖泊气候区；（2）平原气候区；（3）赣西北中低山丘陵气候区；（4）赣东低山丘陵气候区；（5）山地气候区；（6）高山气候区。

英文摘要：

In this paper, the yearly averaged air temperature and precipitation from 84 meteorological stations in Jiangxi Province were calculated and their relationship with local longitude, latitude and SRTM-DEM elevation were analysed by multiple regression method with SPSS software. And with regression equation, the yearly averaged air temperature and precipitation were interpolated in ArcGIS software. Jiangxi Province were divided into 6 climatic regions based on the yearly air temperature and precipitation from classification operation provided by ERDAS software ： （ 1 ） Poyang Lake Climatic Region ; （ 2 ） Poyang Plain Climatic Region ; （ 3 ） Foothill Climatic Region in Northwestern Jiangxi ; （4） Foothill Climatic Region in Eastern Jiangxi ; （5） Hill Climatic Region ; （6） Alpine Climatic Region.